Identifying Risks of Global Finance Digital Transformation(Pages 1001-1008)
Pavlo Dziuba1,*, Maryna Hrysenko2 and Vasyl Matei1
1Department of International Finance, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine.
2Department of General Mathematics, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine.
The relevance of the research subject in this study is based on the significant changes in the development of the global financial system in the last few years, which have increased the risks of the digital transformation of global financial assets and the necessity to identify effective options to cope with the current situation. The main objective of this research is to identify realistic prospects for identifying risks to the digital transformation of global financial assets and tools to address them in a timely and effective manner. The methodological approach in this research is based on a combination of systematic analysis of general principles for identifying the risks of digital transformation of global finance with a comprehensive study of methodologies for preventing the impact of these risk factors on the global financial system. This research has produced results that clearly illustrate the main risks of the digital transformation of global financial assets and the extent to which they have a real impact on the global financial system. The practical significance of the results obtained in this research study and the conclusions drawn from them is the possibility of their use for the timely detection of the risks of digital transformation of the financial activities of enterprises in various areas of the economy, and their timely and effective elimination.
Financial Field; Digital Finance; Digitalisation; Information Security; Artificial Intelligence; Global Financial System.
How to Cite:
Pavlo Dziuba, Maryna Hrysenko and Vasyl Matei. Identifying Risks of Global Finance Digital Transformation. [ref]: vol.20.2022. available at: https://refpress.org/ref-vol20-a111/
Licensee REF Press This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.